2) How large would a population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)© BrainMass Inc. brainmass.com October 10, 2019, 3:43 am ad1c9bdddf
Random sampling is important because it assures that the conclusions you draw can be applied to your entire population.
The following could cause problems with random sampling:
1 - The experimenter selects a sample that is too small.
2 - The experimenter does not understand the population. The could lead to: